Sistem Pengendali Inventori Supply Chain Dengan Pendekatan Probabilitas Pada Industri Pakaian

*Mustafid . scopus  -  Universitas Diponegoro, Indonesia
Alzena Dona Sabila  -  PPD Polinema di Jepara, Indonesia
Suryono .  -  Fakultas Sains dan Matematika Universitas Diponegoro, Indonesia
Received: 14 Mar 2018; Published: 30 Apr 2018.
Open Access
Citation Format:

Inventory control systems have an important role in supply chain management to control process of production, inventory and distribution of products in accordance with rapidly changing consumer demand. The research aims to develop inventory control system on supply chain that can manage the number of production and supply of products based on variables of consumer demand and lead time. Supply chain inventory control systems are designed using model of supply chain inventory control within the information system framework. Model of inventory control using variable of demand lead time is designed by  probability approach. Input to the system are data of demand and lead time sent by retail. The results of research provide theory of supply chain inventory control system with probability approach, especially on developing the theory of probability distribution for combined variables from  two random variables of normal distributed.  Inventory control system used to determine safety stock and reorder point as the basis for determining  the replenishment stock. Furthermore by the system, supply chain management can manage the estimation of production number, and manage inventory and stock number of products in warehouse, supplier and retail in accordance with the consumer demand.

Keywords: Inventory control system, Supply chain, Probability approach, Safety stock, Reoder point.

Article Metrics:

  1. Alzena, D.S, Mustafid, Suryono, 2018. Inventory Control System by Using Vendor Managed Inventory (VMI). ICENIS 2017 E3S Web of Conferences 31, 11015.
  2. Ciarniene, R., dan Vienazindiene, M., 2014, Management of contemporary fashion industri: characteristics and challenges, Procedia - Social and Behavioral Sciences 156, 63-68
  3. Cobb, B.R., Johnson, A.W., Rumí, R., Salmerón, A., 2015. Accurate Lead Time Demand Modeling and Optimal Inventory Policies in Continuous Review Systems. International Journal of Production Economics 163, 124-136
  4. Hnaien, F., Afsar, H.M., 2017. Robust single-item lot-sizing problems with discrete-scenario lead time. International Journal of Production Economics 185, 223–229
  5. Jie, F., Parton, K.A. and Mustafid, 2016. Supply chain performance flexibility in the Australian beef industri. International Journal of Logistics Research and Applications, 19(4), 300-317
  6. Korponai, J., Banyai, A., Illes, B., 2015. The Effect of the Demand-Changes on the Inventories, Proceedings of the 26th DAAAM International Symposium, 1068-1075
  7. Muller, M., 2003, Essentials of Inventory Management, Amacom, New York
  8. Montgomery, D.C., 2009. Introduction to Statistical Quality Control, 6th ed. John Wiley & Sons, Inc. : New Jersey, NJ
  9. Mustafid, 2012. Business Intelligence Systems for High Performance Management. Proceeding the 2nd International Seminar on New Paradigm and Innovation on Natural Science and its Application. Semarang, 4 October 2012. 300-306
  10. Mustafid, 2017. Statistika dalam proyek six sigma. Undip Press, Semarang
  11. Mustafid, Ade Karimariza, S., Jie, F., 2017. Supply chain agility information systems with key factors for fashion industri competitiveness. International Journal of Agile Systems and Management, 10 ( In Press)
  12. Ni, Y., dan Fan, F., 2011, A two-stage synamic sales forcasting model for the fasion retail, Expert Systems with Applications 38, 1529-1536
  13. Pazhani, S., Ventur, J.A., Mendoza, A., 2016, A Serial Inventory System with Supplier Selection and Order Quantity Allocationconsidering Transportation Costs, Applied Mathematical Modelling 40(1),
  14. Prak, D., Teunter, R., Syntetos, A., 2016. On the calculation of safety stocks when demand is forecasted. European Journal of Operational Research, 256 (2), 454-461
  15. Rawat, M., dan Altiok, T., Analysis of Safety Stock Policies in De-centralized Supply Chains, International Journal of Production Research, (2008)
  16. Roldán, R.F., Basagoiti, R. & Coelho, L.C., 2017. A survey on the inventory- routing problem with stochastic lead times and demands, J. Appl. Log., 24 (A), 15-24
  17. Rossetti, M.D., Unlu, Y., 2011. Evaluating the robustness of lead time demand models. Int. J. Production Economics, 134, 159-176

Last update: 2021-03-03 06:50:09

No citation recorded.

Last update: 2021-03-03 06:50:10

No citation recorded.